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NOMA-aided UAV Communications over Correlated Rician Shadowed Fading Channels

Tan Zheng Hui Ernest, A. S. Madhukumar, Rajendra Prasad Sirigina, Anoop Kumar Krishna

2020IEEE Transactions on Signal Processing45 citationsDOIOpen Access PDF

Abstract

In this paper, non-orthogonal multiple access (NOMA) is investigated as a viable solution to address spectrum scarcity in unmanned aerial vehicle (UAV) communications. Specifically, the performance analysis of a NOMA-aided UAV communication system (UCS) with dual-diversity receivers on UAVs is conducted over bivariate Rician shadowed fading channels. Using newly obtained closed-form expressions for the joint probability density function (PDF) and joint cumulative distribution function (CDF), the outage probability and finite signal-to-noise ratio (SNR) diversity gain of NOMA-aided UCS are investigated within a stochastic geometry framework. A comprehensive analysis reveals that NOMA-aided UCSs can support more UAVs on the same spectrum than OMA-based systems, with similar outage probability. It is also shown that the cross correlation affects the diversity gain of NOMA-aided and OMA-based UCSs only at low SNR regimes. Therefore, NOMA-aided UCSs can be an attractive alternative over OMA-based UCSs in future wireless systems.

Topics & Concepts

Rician fadingNomaFadingComputer scienceCumulative distribution functionDiversity gainJoint probability distributionProbability density functionStochastic geometryWirelessSignal-to-noise ratio (imaging)TelecommunicationsMathematicsStatisticsTelecommunications linkDecoding methodsUAV Applications and OptimizationAdvanced Wireless Communication TechnologiesSatellite Communication Systems